Computational Engineering and Data Analysis (MECH2700)
Information valid for Semester 2, 2024
Course level
Undergraduate
Faculty
Engineering, Architecture & Information Technology
School
Mech & Mine Engineering School
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
Information technology session 2 Hours/ Week
General contact hours 1 Hour/ Week
Prerequisite
(ENGG1001 or CSSE1001) and (MATH1051 or MATH1071)
Recommended prerequisite
(MATH1052 or MATH1072)
Assessment methods
Assignments, End of Semester Examination
Course enquiries
Dr Travis Mitchell (t.mitchell@uq.edu.au)
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
Course offerings | Location | Mode | Course Profile |
Semester 2, 2025 (28/07/2025 - 22/11/2025) | St Lucia | In Person | Profile unavailable |
Please Note: Course profiles marked as not available may still be in development.
Course description
This course provides an introduction to the development and application of numerical methods to resolve common challenges faced in mechanical engineering. It builds an important foundation of knowledge in programming, numerical algorithms, and simulation techniques that is essential for modern day engineers. The course starts with numerical approaches for interpolation, differentiation and quadrature before introducing direct and iterative approaches to solve linear systems. Solution techniques for ordinary differential equations (ODEs) and non-linear equations are formulated and techniques for data fitting and optimisation (inc. least-squares approaches) are developed and applied to engineering problems. The final module of the course formulates computational techniques to solve partial differential equations (parabolic, hyperbolic, and elliptic) with numerous applications involving heat transfer, convection-diffusion, and wave propagation. Completion of this course will provide students with the necessary skills to develop computational approaches to address a wide range of engineering problems.